IBL News | New York
Sam Altman, CEO of OpenAI’s ChatGPT, said to the Financial Times that his company will ask for more funding from Microsoft to push ahead with the vision to build out the computing needed to create AGI (artificial general intelligence) — software as intelligent as humans.
Earlier this year, Microsoft invested $10 billion in OpenAI as part of a multiyear agreement that valued the San Francisco-based company at $29 billion.
This month, OpenAI announced a GTP Store, or a marketplace similar to Apple’s App Store, with the best apps tailored for specific applications and a shared revenue model with GPT creators.
“Those are channels into our one single product, which is superintelligence,” Sam Altman said.
Altman hired Brad Lightcap as his chief operating officer to build out the enterprise business. This executive previously worked at Dropbox and start-up accelerator Y Combinator.
Currently, OpenAI is working to build more powerful autonomous agents that can perform complex tasks and actions, such as executing code, making payments, sending emails, or filing claims.
“The amount of business value that will come from being able to do that in every category, I think, is pretty good.”
The company is also working on GPT-5, the next generation of its AI model, although Altman did not commit to a timeline for its release. The CEO of ChatGPT said it was technically hard to predict exactly what new capabilities and skills the GPT-5 model might have.
It will require more data to train on, which Altman said would come from a combination of publicly available data sets on the internet, as well as proprietary data from companies.
OpenAI recently put out a call for large-scale data sets from organizations that “are not already easily accessible online to the public today.”
To train its models, OpenAI, like most other large AI companies, uses Nvidia’s advanced H100 chips, which are in a supply shortage.
OpenAI has already taken the lead in the race to build generative AI — systems that can create text, images, code, and other multimedia in seconds.
Altman said his team believed that language was a “great way to compress information” and, therefore, develop intelligence, a factor he thought that the likes of Google DeepMind had missed.
He also said “the biggest missing piece” in the race to develop AGI is what is required for such systems to make fundamental leaps of understanding.